# Solutions Architect

**Company**: Databricks
**Location**: Remote - Denmark
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8368209002
**Canonical**: https://yubhub.co/jobs/job_829e8859-ae5

## Description

At Databricks, we're looking for a Solutions Architect to join our Field Engineering team. As a Solutions Architect, you will be an essential part of our mission to inspire customers to make informed decisions that push their business forward. You will work with a collaborative, customer-focused team that values innovation and creativity, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.

Your responsibilities will include:

- Forming successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.

- Operating as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.

- Scaling best practices in your field and supporting customers by authoring reference architectures, how-tos, and demo applications, and helping build the Databricks community in your region by leading workshops, seminars, and meet-ups.

We're looking for someone with prior experience in technical sales, customer relationship development, and a strong understanding of big data analytics technologies. You should be proficient in coding in a core programming language (such as Python, Java, or Scala) and willing to learn a base level of Spark.

As a Solutions Architect at Databricks, you will have the opportunity to grow your knowledge and expertise to the level of a technical and/or industry specialist, and contribute to the success of our customers and the growth of our company.

## Skills

### Required
- big data analytics
- data intelligence platform
- Spark
- Python
- Java
- Scala
- technical sales
- customer relationship development

### Nice to have
- cloud computing
- machine learning
- data science